典型文献
Finite Element Prediction of the Thermal Conductivity of GNP/Al Composites
文献摘要：
A 3D multi-scale finite element model was developed to predict the effective thermal conductivity of graphene nanoplatelet(GNP)/Al composites.The factors influencing the effective thermal conductivity of the GNP/Al composites were investigated,including the orientation,shape,aspect ratio,configuration and volume fraction of GNPs.The results show that GNPs shape has a little influence on the thermal conductivity of GNP/Al composites,and composites with elliptic GNPs have the highest thermal conductivity.In addition,with increasing the aspect ratio of GNPs,the thermal conductivity of GNP/Al composites increases and finally tends to be stable.The GNPs configuration strongly influences the thermal conductivity of GNP/Al composites,and the thermal conductivity of the composites with layered GNPs is the highest among the five configurations.The effective thermal conductivity is sensitive to volume fraction of GNPs.Ideally,when the volume fraction of layered GNPs reaches 1.54％,the thermal conductivity of GNP/Al composites is as high as 400 W/m K.The findings of this study could provide a good theoretical basis for designing high thermal conductivity GNP/Al composites.
文献关键词：
中图分类号：
作者姓名：
X.S. Yang;L. Zhou;K.Y. Liu;Z.Y. Liu;Q.Z. Wang;B.L. Xiao;Z.Y. Ma
作者机构：
School of Electromechanical and Automotive Engineering,Yantai University,Yantai 264005,China;Shi-Changxu Innovation Center for Advanced Materials,Institute of Metal Research,Chinese Academy of Sciences,Shenyang 110016,China
文献出处：
引用格式：
[1]X.S. Yang;L. Zhou;K.Y. Liu;Z.Y. Liu;Q.Z. Wang;B.L. Xiao;Z.Y. Ma-.Finite Element Prediction of the Thermal Conductivity of GNP/Al Composites)[J].金属学报（英文版）,2022(05):825-838
A类：
B类：
Finite,Element,Prediction,Thermal,Conductivity,Composites,multi,scale,finite,element,model,was,developed,predict,effective,thermal,conductivity,graphene,nanoplatelet,composites,factors,influencing,were,investigated,including,orientation,shape,aspect,volume,fraction,GNPs,results,show,that,has,little,elliptic,have,highest,In,addition,increasing,increases,finally,tends,be,stable,strongly,influences,layered,among,five,configurations,sensitive,Ideally,when,reaches,findings,this,study,could,provide,good,theoretical,basis,designing
AB值：
0.406521
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